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» Algorithms for Spatial Outlier Detection
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IPMI
2007
Springer
14 years 8 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
BILDMED
2008
13 years 9 months ago
Ruler-Based Automatic Stitching of Spatially Overlapping Radiographs
We present an algorithm for fast automatic registration of spatially overlapping radiographs. It possesses strong robustness against noise, feature masking and feature displacement...
André Gooßen, Mathias Schlüter, ...

Book
5381views
15 years 6 months ago
Image Processing in C
"This book is a tutorial on image processing. Each chapter explains basic concepts with words and gures, shows image processing results with photographs, and implements the...
D. Phillips
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 8 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
SIGMOD
1997
ACM
113views Database» more  SIGMOD 1997»
13 years 11 months ago
Size Separation Spatial Join
The Partitioned Based Spatial-Merge Join (PBSM) of Patel and DeWitt and the Size Separation Spatial Join (S3 J) of Koudas and Sevcik are considered to be among the most efficient ...
Nick Koudas, Kenneth C. Sevcik